Results 61 to 70 of about 121,493 (266)
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
wiley +1 more source
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source
Problematised History Pedagogy as Narrative Research: Self-Fashioning, Dismantled Voices and Reimaginings in History Education [PDF]
A growing disturbance with history’s identity in the New Zealand schooling curriculum disrupted my educational socialisation (curriculum, professional, academic) and inheritance of educational policy decisions. In turn, this disturbance shaped a critical
Hunter, Philippa, Hunter, Philippa Anne
core +1 more source
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider +14 more
wiley +1 more source
Active Learning in Art History: A Review of Formal Literature [PDF]
This article surveys the formal, academic literature on active learning in art history. It considers the history of active learning in art history and outlines the unique combination of approaches that art history takes towards active learning.
Gasper-Hulvat, Marie
core +2 more sources
Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan +8 more
wiley +1 more source
Epistemic freedom in Africa: deprovincialization and decolonization by Sabelo J. Ndlovu-Gatsheni
In this review of Sabelo J. Ndlovu-Gatsheni's Epistemic Freedom in Africa: Deprovincialization and Decolonization, Masixole Booi explains in detail how the book focuses on the history and politics of knowledge production and how Africa has been located ...
Masixole Booi
doaj +1 more source
Ethical Precision in Nanoscale Brain Interfacing
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
CauFinder: Steering Cell‐State and Phenotype Transitions by Causal Disentanglement Learning
CauFinder combines causal disentanglement modeling and network control to prioritize causal drivers of cell‐state transitions from observational transcriptomic data. The framework separates transition‐relevant signals from spurious associations, nominates intervention targets across biological and disease contexts, and identifies DAAM1 as an actionable
Chengming Zhang +11 more
wiley +1 more source
An Assisting Contact Electrification Strategy for Achieving Self‐Recoverable Mechanoluminescence
ABSTRACT Self‐recoverable mechanoluminescence (ML) is a unique property of materials that can stably emit light under repeated stress, enabling new applications in smart sensing, displays, and wearable devices. However, self‐recoverable ML is very rare and only observed in a few active phosphors excited by piezoelectricity or contact electrification ...
Jianwen Zhang +12 more
wiley +1 more source

